• The Journal of the Acoustical Society of Korea
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• v.40 no.4
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• pp.314-319
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• 2021

The measurement of the Underwater Radiated Noise (URN) for the underwater vehicle should consider both the acoustic interference due to the surface reflection and the calculation of the Closet Point of Approach (CPA). In this paper, I tried to analyze the underwater vehicle's URN using the Lloyd's mirror effect. First, the theoretical Lloyd's mirror pattern was compared with the sea trial result, and the sea trial results corresponded well with the theoretical predicted pattern. And then the CPA distance could be estimated by the Lloyd's mirror pattern. As a results, acoustic source level shows the spectral fluctuation due to the acoustic interference of the Lloyd's mirror effect.

• Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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• 1997.04a
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• pp.524-532
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• 1997

수중음향표적 특히 선박방사소음을 탐지하거나 식별하는 군사적 목적의 수동소나는 수중청음기 배열로 구성되며 각 배열센서에 수신된 신호에 배열 신호처리기술을 적용하여 선박의 거리, 방위 탐지는 물론 선박의 음향적 특징을 식별하는 고도의 음향장치이다. 그러나 이러한 장치운용자의 선박탐지, 식별이나 새로운 수동소나 개발, 나아가 스텔스 능력의 선박 설계를 위해서는 선박방사소음의 측정, 분석 및 예측에 관한 이해가 선행되어야 할 것이다. 본 연구는 대표적인 선박방사소음 측정시스템의 소개, 방사소음발생기구, 측정자료의 분석 및 예측에 관한 기초기술을 연구 분석한 내용이다.

• Journal of KSNVE
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• v.8 no.2
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• pp.232-238
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• 1998

선박 방사소음은 군사적 목적의 수동소나가 탐지대상으로 하는 수중음향 표적이라 할 수 있다. 따라서 수동소나 운용자는 대잠전 수행이전에 다양한 선박들에 대한 방사소음을 측정, 분석하여 개별 선박 고유의 음향 특징을 수집함으로써 실전 상황에서 미지 선박이 탐지되는 경우 이들 자료를 식별의 기초자료로 활용하고자 한다. 또한 새로운 수동소나의 개발자나 스텔스 능력의 선박 설계자 역시 선박방사소음 특징자료를 필요로한다. 본 글은 선박방사소음의 발생기구, 측정시스템 및 측정자료의 분석 평가 기술을 연구분석한 내용이다.

• The Journal of the Acoustical Society of Korea
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• v.34 no.5
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• pp.343-350
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• 2015

In this paper, we perform a study on the directionality of broadband ship radiation noise, mainly resulting from propeller cavitation. By examining a few foreign studies for ship radiation noise and domestic data measured in Korean waters, it is reconfirmed that the asymmetric directionality of the ship radiation noise at bow and stern aspect is observed commonly. In order to explore the reason of this asymmetric directionality, a numerical analysis, based on the acoustic boundary element method, is applied into the geometric form equal to the commercial ship used in the domestic experiment. The numerical result demonstrates that the diffraction of the propeller cavitation noise by ship is a primary cause of the bow-stern asymmetry in the directionality of ship radiation noise.

• Proceedings of the Acoustical Society of Korea Conference
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• autumn
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• pp.443-446
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• 2004

추진기에 의한 소음은 선형 특성에 의한 반류 분포, 추진기 재질 및 유체 연동 등 다양한 주변 인자들에 의해 발생하여, 민수용 선박의 경우는 과도한 추진기 수중 방사 소음으로 해양 생태계 교란 및 선박 거주구역 내 과대 소음 형성의 주 요인이 된다. 더구나, 군사용 함정의 경우에는 추진기 유기 소음은 수중 방사소음의 형태로 전파되어 함정/무기 자체에 탑재된 음향센서의 기능을 저하시키는 영향을 줄 뿐 아니라, 원거리까지 전파되는 수중소음으로 인해 치명적인 자기 노출이 되어 적 함정에 의한 피탐 거리 증대라는 전술적 취약점을 초래하는 중요한 요소이다. 본 발표는 삼성 공동수조(SCAT)에서 이루어지는 추진기 유기 소음 측정에 대한 기술적 사항과 모형선-추진기 수조 시험을 통해 구해진 추진기 유기음향과 이론 및 경험식을 토대로 계산된 추진기 소음의 정량/정성적 비교를 통해, 추진기 설계 단계에서 소음수준 예측 도구로의 활용 가능성을 제시하였다.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.22 no.2
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• pp.311-318
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• 2021

Underwater, signals are transmitted by sound waves. Sound waves are transmitted through a multipath, either directly or through reflection, due to the variety of underwater environmental characteristics. In such diverse and complex underwater environments, tests must be conducted to determine the extent of the hazard from the survivability and pitfalls of submarines by measuring the underwater radiated noise. Usually, the sound source level measurement of underwater radiated noise should be made within the closest point (CPA: Closest Point of Approach) ± a few meters between the measurement sensor and the submarine. In this study, FDOA and TDOA methods were proposed to estimate the underwater source range. A simulation based on the underwater channel model confirmed the performance of the proposed method.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.10 no.3
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• pp.599-607
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• 2006

The ship radiated noise appear the various characteristic signals due to the mechanic system in the ship, the propeller and the interaction between ship body and sea water. Generally, it is classified two main components: the speed dependent signal and the speed independent signal. It is required that very complex procedure to classify the signal origin from the ship-radiated noise. This paper presents techniques to automatically detect and classify the tonal signals ken the ship-radiated noise, using the Q factor and the neural network.

• The Journal of the Acoustical Society of Korea
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• v.43 no.4
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• pp.383-390
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• 2024

When measuring the radiated noise of an underwater vehicle, the range information between the vehicle and the receiver is an important factor, but since Global Positioning System (GPS) is not available in underwater, an alternative method is needed. As an alternative, the range is measured by estimating the arrival time, arrival time difference, and arrival frequency difference using a separate acoustic signal. However, errors occur due to the channel environment, and these outliers become obstacles in continuously measuring range. In this paper, we propose a method to reduce errors by curve fitting with a function in the form of a V-curve as a post-processing to remove outliers that occurred in the process of measuring range information. Simulation, lake and sea trials were conducted to verify the performance of the proposed method. In the results of the lake trial, the range estimation error was reduced by about 85 % from the Root Mean Square Error (RMSE) point of view.

• Journal of the Society of Naval Architects of Korea
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• v.59 no.6
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• pp.362-371
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• 2022

As considerable interests in noise emission from the ships have been increased, International Maritime Organization (IMO) standardized the Underwater Radiated Noise (URN) measurement process of commercial ships in deep seas by enacting the related ISO standard ISO 17208-1 and classification societies responded with the enactment or revision of corresponding notations. According to this trend, a new hybrid underwater sound propagation model based on underwater sound propagation theories was developed and its accuracy on analysis was verified through the result comparison with the results of other generally used models. Using the verified model, each URN propagation characteristics adjusted by the correction methods proposed in the ISO standard and class notations were analyzed and compared in two assumed URN measurement cases. The results showed that the effects of transmission loss corrections in the circumstances with less bottom reflections generally similar but they had rather large differences in the model analysis results with bottom-reflection-dominant conditions. It was concluded that the deep consideration of effective bottom-reflection-correction method should be made in future revisions of ISO standard and class notations.

• The Journal of the Acoustical Society of Korea
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• v.26 no.6
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• pp.293-300
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• 2007

Turbulent boundary layer over an underwater vehicle is formed when it moves underwater and wall pressure fluctuation within the turbulent boundary layer generates flow-induced noise by exciting the elastic hull of the underwater vehicle. One of the methods to reduce this flow noise is to attach a compliant layer on the surface of the vehicle. In order to observe the possibility of noise reduction in the water when the compliant layer treatments are applied on the surface, three types of specimens those are a bare steel plate, a steel plate coated with neoprene and a steel plate with polyurethane coating material are tested at various flow speeds in a low noise cavitation tunnel. This paper presents the results of measurements and analysis of wall pressure fluctuations which is a main source of flow noise, within the turbulent boundary layer on three specimens. Its results could be shown that about 10dB reduction of wall fluctuation pressure at high frequencies was achieved due to the dissipation of turbulent energy by the compliant coating while it makes the turbulent boundary layer thicker and changes the behavior of turbulent flow in the layer.